Curated research landscape

Find the right data for dietary monitoring research.

Understand the field at a glance, inspect evidence and access conditions, then compare resources without digging through dozens of papers first.

Explore datasets See the landscape

Start with evidence. A reachable link does not verify every claim. Each record shows its evidence and audit status.

The landscape

What this collection covers

Counts describe active records in the curated inventory. Use the charts to understand emphasis and gaps before choosing a dataset.

Research emphasis

Resources by dataset family

Number of active resources

Confidence

Evidence status

Practical access

Availability profile

Annotation coverage

Which signals are represented?

Direct Partial or related

Growth over time

Release-year distribution

First publication or current-version year

Dataset explorer

Search, filter, and compare

Select up to three datasets for a field-by-field comparison. Open any record to inspect its provenance and limitations.

Compare checkboxes appear on every result.

Open research resource

Built for transparent reuse on GitHub.

The repository contains the original workbook, machine-readable exports, source-reviewed corrections, accepted contributions, and repeatable validation scripts. Readers can inspect where every displayed value comes from.

View repository Suggest a change

Repository: github.com/MX-Liu/awesome-automatic-dietatry-monitoring-datasets

Reusable data

CSV and JSON exports support analysis, visualization, and integration into other research tools.

Inspect data files

Auditable evidence

Corrections, evidence status, review notes, and link-check results remain visible instead of being silently overwritten.

Read the audit

Guided contributions

GitHub forms separate additions, factual corrections, and retirements so contributors know exactly what evidence to provide.

How to contribute

Continuous checks

Automated workflows validate contribution records, regenerate the atlas, and identify broken or blocked hyperlinks.

Inspect workflows

Keep the atlas reliable

Found a missing or outdated dataset?

Use the repository’s guided forms to add a resource, correct a field, or retire an unsuitable record. No coding is required.

Read the contribution guide